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Occupational Social Class and Earnings Inequality in Europe: A Comparative Assessment

Author

Listed:
  • Tim Goedemé

    (University of Oxford)

  • Brian Nolan

    (University of Oxford)

  • Marii Paskov

    (University of Oxford)

  • David Weisstanner

    (University of Oxford)

Abstract

While there is renewed interest in earnings differentials between social classes, the contribution of social class to overall earnings inequality across countries and net of compositional effects remains largely uncharted territory. This paper uses data from the European Union Statistics on Income and Living Conditions to assess earnings differentials between social classes (as measured by ESeC) and the role of between-class inequality in overall earnings inequality across 30 European countries. We find that there is substantial variation in earnings differences between social classes across countries. Countries with higher levels of between-class inequality tend to display higher levels of overall earnings inequality, but this relationship is far from perfect. Even with highly aggregated class measures, between-class inequality accounts for a non-negligible share of total earnings inequality (between 15 and 25% in most countries). Controlling for observed between-class differences in composition shows that these account for much of the observed between-class earnings inequality, while in most countries between-class differences in returns to observed compositional variables do not play a major role. In all these respects we find considerable variation across countries, implying that both the size of between-class differences in earnings and the primary mechanisms that produce these class differences vary substantially between European countries.

Suggested Citation

  • Tim Goedemé & Brian Nolan & Marii Paskov & David Weisstanner, 2022. "Occupational Social Class and Earnings Inequality in Europe: A Comparative Assessment," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 159(1), pages 215-233, January.
  • Handle: RePEc:spr:soinre:v:159:y:2022:i:1:d:10.1007_s11205-021-02746-z
    DOI: 10.1007/s11205-021-02746-z
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    References listed on IDEAS

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    1. repec:aia:ginidp:dp33 is not listed on IDEAS
    2. Marii Paskov & Caroline Dewilde, 2012. "GINI DP 33: Income Inequality and Solidarity in Europe," GINI Discussion Papers 33, AIAS, Amsterdam Institute for Advanced Labour Studies.
    3. Brian Nolan & Matteo G. Richiardi & Luis Valenzuela, 2019. "The Drivers Of Income Inequality In Rich Countries," Journal of Economic Surveys, Wiley Blackwell, vol. 33(4), pages 1285-1324, September.
    4. Goedemé, Tim & Zardo Trindade, Lorena, 2020. "MetaSILC 2015: A Report on the Contents and Comparability of the EU-SILC Income Variables," INET Oxford Working Papers 2020-01, Institute for New Economic Thinking at the Oxford Martin School, University of Oxford.
    5. Tim Goedemé, 2013. "How much Confidence can we have in EU-SILC? Complex Sample Designs and the Standard Error of the Europe 2020 Poverty Indicators," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 110(1), pages 89-110, January.
    6. Oesch, Daniel, 2013. "Occupational Change in Europe: How Technology and Education Transform the Job Structure," OUP Catalogue, Oxford University Press, number 9780199680962.
    7. Brian Nolan & Luis Valenzuela, 2019. "Inequality and its discontents," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 35(3), pages 396-430.
    8. Alan S. Blinder, 1973. "Wage Discrimination: Reduced Form and Structural Estimates," Journal of Human Resources, University of Wisconsin Press, vol. 8(4), pages 436-455.
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